Comparison
anything-llm vs sre
Verdict
Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick sre if smythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments.
Markdown twin · anything-llm alternatives · sre alternatives
GraphCanon updated Sep 20, 2026
18views this month
vs
Trust & integrity
| Signal | anything-llm | sre |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (170d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- anything-llm
- Self-hosted AI agent experience
- sre
- Cloud-native runtime for building, running, and managing intelligent agents
Stars
- anything-llm
- 66k
- sre
- 1.3k
Forks
- anything-llm
- 7.3k
- sre
- 202
Open issues
- anything-llm
- 315
- sre
- 35
Language
- anything-llm
- JavaScript
- sre
- TypeScript
Adopt for
- anything-llm
- anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
- sre
- SmythOS Runtime Environment (SRE) is a TypeScript-based open-source runtime framework designed for developing, managing and running intelligent agents in various environments.
Persona
- anything-llm
- -
- sre
- -
Runtime
- anything-llm
- -
- sre
- -
License
- anything-llm
- MIT License, allowing for free use, modification, and distribution.
- sre
- MIT
Last pushed
- anything-llm
- Sep 17, 2026
- sre
- Apr 3, 2026
Categories
- anything-llm
- AI Agents, Developer Tools, Inference & Serving
- sre
- AI Agents
Trust and health
Maintenance
- anything-llm
- Very active (96%)
- sre
- Slowing (36%)
Days since push
- anything-llm
- 0d
- sre
- 170d
Open issues (now)
- anything-llm
- 315
- sre
- 35
Stars delta
- anything-llm
- +1.5k (30d)
- sre
- +2 (30d)
Open issues delta
- anything-llm
- -4 (30d)
- sre
- +1 (30d)
Full report
- anything-llm
- Trust report
- sre
- Trust report
Choose anything-llm if…
- anything-llm is primarily JavaScript; sre is TypeScript.
- Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
- Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
- Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
- Also covers Developer Tools, Inference & Serving.
- When you need a local-first AI agent experience that you can fully control and customize.
When NOT to use anything-llm
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
- When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
Choose sre if…
- sre is primarily TypeScript; anything-llm is JavaScript.
- Tags unique to sre: agent-framework, agi, autonomous-agents, multi-agent-systems.
- Use SRE if you are working with agentic AI projects that need to be deployed across multiple environments such as local, cloud, or edge locations.
When NOT to use sre
- Avoid SRE if the project requirements are focused on languages other than TypeScript as it is specifically built with TypeScript in mind.
- If your use case prioritizes immediate access to a mature and widely supported SDK over an open-source framework, another tool might offer more comprehensive support out of the box.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Sep 20, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (SmythOS/sre) · observed Sep 20, 2026
- GitHub forks (SmythOS/sre) · observed Sep 20, 2026
- Last push (SmythOS/sre) · observed Apr 3, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: anything-llm 66k · sre 1.3k (synced Sep 20, 2026).
Common questions
- What is the difference between anything-llm and sre?
- anything-llm: Self-hosted AI agent experience. sre: Cloud-native runtime for building, running, and managing intelligent agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose anything-llm over sre?
- Choose anything-llm over sre when anything-llm is primarily JavaScript; sre is TypeScript; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Developer Tools, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
- When should I choose sre over anything-llm?
- Choose sre over anything-llm when sre is primarily TypeScript; anything-llm is JavaScript; Tags unique to sre: agent-framework, agi, autonomous-agents, multi-agent-systems; Use SRE if you are working with agentic AI projects that need to be deployed across multiple environments such as local, cloud, or edge locations.
- When should I avoid anything-llm?
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
- When should I avoid sre?
- Avoid SRE if the project requirements are focused on languages other than TypeScript as it is specifically built with TypeScript in mind. If your use case prioritizes immediate access to a mature and widely supported SDK over an open-source framework, another tool might offer more comprehensive support out of the box.
- Is anything-llm or sre more popular on GitHub?
- anything-llm has more GitHub stars (66,167 vs 1,293). Stars measure visibility, not whether either tool fits your constraints.
- Are anything-llm and sre open source?
- Yes - both are open-source projects on GitHub (anything-llm: MIT, sre: MIT).
- Where can I find alternatives to anything-llm or sre?
- GraphCanon lists graph-backed alternatives at anything-llm alternatives and sre alternatives (anything-llm markdown twin, sre markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, anything-llm or sre?
- anything-llm: Very active. sre: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for anything-llm and sre?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; sre trust report.